Posterior probabilistic clustering using NMF

Authors:
Chris Ding;Tao Li;Dijun Luo;Wei Peng
Affiliations:
University of Texas at Arlington, Arlington, TX, USA;Florida International University, Miami, FL, USA;University of Texas at Arlington, Arlington, TX, USA;Florida International University, Miami, FL, USA
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

Citing 3
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Abstract

We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes the uncertainty in clustering assignment. Furthermore, PPC is closely related to probabilistic latent semantic indexing (PLSI).